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-Trust funded research project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments. RELMED is a unique opportunity to
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Research Fellow - OSMOSIS research programme (Internal candidates only) Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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Applications are invited for a behavioural science fellowship focused upon cross-cultural social psychology. The fellowship is jointly hosted by GCHQ (Classified Research Programme (CRP)) and the